The Vision AI Blog
Methodology, data-quality fixes, and how the analysis actually works — written straight from the engineering.
خمسة أسماء تحت 23 سنة من الدوري المصري الممتاز تستحق المتابعة
خمسة أسماء من الدوري المصري الممتاز الموسم ده، بعمر 23 أو أقل، مختارين من بيانات المواسم وبناء علي ترشيحات محركات VISON AI
How Vision AI Actually Rates a Player
No fixed weights, no single magic formula nobody can explain. Here's exactly how the Vision AI Score is built, one tactical question at a time, and why it says "not enough data yet" instead of guessing.
Why We Rebuilt Player Similarity From Scratch
Raw-metric clustering let Federico Valverde and Frenkie de Jong land in the same bucket. That's not a fluke — it's what happens when you cluster event counts instead of playing style.
The Position Label Bug Nobody Catches
William Saliba, Virgil van Dijk and Gabriel Magalhães were all classified as full-backs by our own model. The bug wasn't in the players — it was in assuming a centre-back sits dead-centre.
A Report Engine, Not a Template
Early versions gave every player the same fifteen sections — a centre-back's report included a shot map built on four attempts all season. The fix was to make the report decide what it should contain.
Every Metric In Your Report, Explained Simply
No jargon. What xG, xT, PPDA, Field Tilt and every other number in a Vision AI report actually mean — for someone who doesn't watch football or read data for a living.